from sklearn_benchmarks.reporting.hp_match import HpMatchReporting
reporting = HpMatchReporting(against_lib="onnx", config="config.yml", log_scale=True)
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time onnx. For instance, a speedup of 2 means that onnx is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 1.969990 | 0.148898 | NaN | ... | brute | -1 | 1 | 0.663 | 0.344495 | 0.004538 | 1.000 | 5.718491 | 5.718987 | 0.337 |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 0.022266 | 0.002180 | NaN | ... | brute | -1 | 1 | 1.000 | 19.071551 | 0.004902 | 0.757 | 0.001168 | 0.001168 | 0.243 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 22d5eac4a4146149b35eae6914921514 | 2cf49829391aa7891e877f2ed070adf0 | 2.921108 | 0.028251 | NaN | ... | brute | -1 | 5 | 0.757 | 19.200300 | 0.068813 | 0.882 | 0.152139 | 0.152140 | 0.125 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 2.210127 | 0.010942 | NaN | ... | brute | 1 | 100 | 0.882 | 0.347571 | 0.006628 | 1.000 | 6.358773 | 6.359929 | 0.118 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 0.020651 | 0.000483 | NaN | ... | brute | 1 | 100 | 1.000 | 19.115524 | 0.065219 | 0.757 | 0.001080 | 0.001080 | 0.243 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2d5f2b2c02d77766434d9e5033b4a76c | 2cf49829391aa7891e877f2ed070adf0 | 2.907368 | 0.040011 | NaN | ... | brute | -1 | 100 | 0.882 | 19.357950 | 0.011190 | 0.663 | 0.150190 | 0.150190 | 0.219 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 2.184117 | 0.008282 | NaN | ... | brute | 1 | 5 | 0.757 | 0.271847 | 0.006676 | 1.000 | 8.034358 | 8.036780 | 0.243 |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 0.020806 | 0.000499 | NaN | ... | brute | 1 | 5 | 1.000 | 4.041141 | 0.026332 | 0.922 | 0.005149 | 0.005149 | 0.078 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | b79d63bb7670c492de5c3befac58fe29 | 2cf49829391aa7891e877f2ed070adf0 | 1.191104 | 0.003320 | NaN | ... | brute | 1 | 1 | 0.663 | 4.135509 | 0.014379 | 0.929 | 0.288019 | 0.288020 | 0.266 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 1.730465 | 0.035290 | NaN | ... | brute | -1 | 1 | 0.896 | 0.272538 | 0.005492 | 1.000 | 6.349440 | 6.350729 | 0.104 |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 0.005685 | 0.003775 | NaN | ... | brute | -1 | 1 | 1.000 | 4.057441 | 0.018263 | 0.922 | 0.001401 | 0.001401 | 0.078 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 22d5eac4a4146149b35eae6914921514 | 88843f54689e3271092f70126e1de585 | 2.772486 | 0.027425 | NaN | ... | brute | -1 | 5 | 0.922 | 4.124163 | 0.018803 | 0.896 | 0.672254 | 0.672261 | 0.026 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.953 | 0.0 | -1 | 1 | 19.378 | 0.165 | 0.663 | 0.001 | 0.001 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.891 | 0.0 | -1 | 5 | 0.347 | 0.008 | 1.000 | 0.033 | 0.033 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.903 | 0.0 | 1 | 100 | 19.717 | 0.051 | 0.882 | 0.001 | 0.001 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.851 | 0.0 | -1 | 100 | 0.353 | 0.007 | 1.000 | 0.033 | 0.033 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.892 | 0.0 | 1 | 5 | 4.133 | 0.020 | 0.896 | 0.003 | 0.003 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.900 | 0.0 | 1 | 1 | 0.275 | 0.004 | 1.000 | 0.042 | 0.042 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | 0.330 | 0.0 | -1 | 1 | 4.116 | 0.026 | 0.929 | 0.001 | 0.001 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | 0.326 | 0.0 | -1 | 5 | 0.272 | 0.005 | 1.000 | 0.018 | 0.018 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.970 | 0.149 | 0.000 | 0.002 | -1 | 1 | 0.344 | 0.005 | 1.000 | 5.718 | 5.719 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.022 | 0.002 | 0.000 | 0.022 | -1 | 1 | 19.072 | 0.005 | 0.757 | 0.001 | 0.001 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.921 | 0.028 | 0.000 | 0.003 | -1 | 5 | 19.200 | 0.069 | 0.882 | 0.152 | 0.152 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.002 | 0.000 | 0.024 | -1 | 5 | 0.354 | 0.004 | 1.000 | 0.067 | 0.067 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.210 | 0.011 | 0.000 | 0.002 | 1 | 100 | 0.348 | 0.007 | 1.000 | 6.359 | 6.360 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.000 | 0.000 | 0.021 | 1 | 100 | 19.116 | 0.065 | 0.757 | 0.001 | 0.001 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.907 | 0.040 | 0.000 | 0.003 | -1 | 100 | 19.358 | 0.011 | 0.663 | 0.150 | 0.150 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.003 | 0.000 | 0.024 | -1 | 100 | 0.345 | 0.002 | 1.000 | 0.070 | 0.070 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.184 | 0.008 | 0.000 | 0.002 | 1 | 5 | 0.272 | 0.007 | 1.000 | 8.034 | 8.037 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.000 | 0.000 | 0.021 | 1 | 5 | 4.041 | 0.026 | 0.922 | 0.005 | 0.005 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.191 | 0.003 | 0.001 | 0.001 | 1 | 1 | 4.136 | 0.014 | 0.929 | 0.288 | 0.288 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.019 | 0.000 | 0.000 | 0.019 | 1 | 1 | 0.273 | 0.005 | 1.000 | 0.071 | 0.071 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.730 | 0.035 | 0.000 | 0.002 | -1 | 1 | 0.273 | 0.005 | 1.000 | 6.349 | 6.351 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.004 | 0.000 | 0.006 | -1 | 1 | 4.057 | 0.018 | 0.922 | 0.001 | 0.001 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.772 | 0.027 | 0.000 | 0.003 | -1 | 5 | 4.124 | 0.019 | 0.896 | 0.672 | 0.672 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.007 | 0.003 | 0.000 | 0.007 | -1 | 5 | 0.272 | 0.004 | 1.000 | 0.026 | 0.026 | See | See |
KNeighborsClassifier_kd_tree¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.787703 | 0.941130 | NaN | ... | kd_tree | -1 | 1 | 0.929 | 2.964274 | 0.212304 | 1.000 | 0.265732 | 0.266413 | 0.071 |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.002757 | 0.000535 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 118.957929 | 0.000000 | 0.946 | 0.000023 | 0.000023 | 0.054 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | dc74b969bf622bc24ba3bc62c980983b | 1eb6cf1a720a225efb91df0b529b0510 | 1.068765 | 0.363824 | NaN | ... | kd_tree | -1 | 5 | 0.946 | 118.046898 | 0.000000 | 0.951 | 0.009054 | 0.009054 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 5.509321 | 0.446831 | NaN | ... | kd_tree | 1 | 100 | 0.951 | 2.958515 | 0.164419 | 1.000 | 1.862192 | 1.865065 | 0.049 |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 0.003461 | 0.001023 | NaN | ... | kd_tree | 1 | 100 | 1.000 | 117.529886 | 0.000000 | 0.946 | 0.000029 | 0.000029 | 0.054 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 022f7445d43bb1dbc24dc3106c03cb93 | 1eb6cf1a720a225efb91df0b529b0510 | 3.285155 | 0.279967 | NaN | ... | kd_tree | -1 | 100 | 0.951 | 119.269927 | 0.000000 | 0.929 | 0.027544 | 0.027544 | 0.022 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 1.701067 | 0.310033 | NaN | ... | kd_tree | 1 | 5 | 0.946 | 0.006120 | 0.000125 | 1.000 | 277.944902 | 278.002669 | 0.054 |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 0.001737 | 0.000487 | NaN | ... | kd_tree | 1 | 5 | 1.000 | 0.047488 | 0.010557 | 0.911 | 0.036583 | 0.037476 | 0.089 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | a9455565db1d8e052a783317c99744ff | 1eb6cf1a720a225efb91df0b529b0510 | 0.934033 | 0.304402 | NaN | ... | kd_tree | 1 | 1 | 0.929 | 0.068268 | 0.001213 | 0.894 | 13.681901 | 13.684059 | 0.035 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.027836 | 0.012823 | NaN | ... | kd_tree | -1 | 1 | 0.891 | 0.006608 | 0.001085 | 1.000 | 4.212503 | 4.268875 | 0.109 |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.002797 | 0.000275 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 0.043076 | 0.000353 | 0.911 | 0.064930 | 0.064932 | 0.089 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | dc74b969bf622bc24ba3bc62c980983b | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.024767 | 0.001410 | NaN | ... | kd_tree | -1 | 5 | 0.911 | 0.042778 | 0.000343 | 0.891 | 0.578966 | 0.578984 | 0.020 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.205 | 0.027 | 0.025 | 0.0 | -1 | 1 | 119.539 | 0.000 | 0.929 | 0.027 | 0.027 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.899 | 0.040 | 0.021 | 0.0 | -1 | 5 | 2.966 | 0.191 | 1.000 | 1.314 | 1.317 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.940 | 0.064 | 0.020 | 0.0 | 1 | 100 | 119.691 | 0.000 | 0.951 | 0.033 | 0.033 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.893 | 0.059 | 0.021 | 0.0 | -1 | 100 | 2.942 | 0.146 | 1.000 | 1.323 | 1.325 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.848 | 0.074 | 0.021 | 0.0 | 1 | 5 | 0.043 | 0.001 | 0.891 | 89.883 | 89.892 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.901 | 0.050 | 0.021 | 0.0 | 1 | 1 | 0.006 | 0.000 | 1.000 | 682.433 | 682.546 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | 0.017 | 0.0 | -1 | 1 | 0.068 | 0.001 | 0.894 | 0.013 | 0.013 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.025 | 0.0 | -1 | 5 | 0.006 | 0.000 | 1.000 | 0.112 | 0.112 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.788 | 0.941 | 0.000 | 0.001 | -1 | 1 | 2.964 | 0.212 | 1.000 | 0.266 | 0.266 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 1 | 118.958 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.069 | 0.364 | 0.000 | 0.001 | -1 | 5 | 118.047 | 0.000 | 0.951 | 0.009 | 0.009 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 2.941 | 0.158 | 1.000 | 0.001 | 0.001 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 5.509 | 0.447 | 0.000 | 0.006 | 1 | 100 | 2.959 | 0.164 | 1.000 | 1.862 | 1.865 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | 1 | 100 | 117.530 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 3.285 | 0.280 | 0.000 | 0.003 | -1 | 100 | 119.270 | 0.000 | 0.929 | 0.028 | 0.028 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | 0.000 | 0.005 | -1 | 100 | 2.922 | 0.159 | 1.000 | 0.002 | 0.002 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.701 | 0.310 | 0.000 | 0.002 | 1 | 5 | 0.006 | 0.000 | 1.000 | 277.945 | 278.003 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | 0.000 | 0.002 | 1 | 5 | 0.047 | 0.011 | 0.911 | 0.037 | 0.037 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.934 | 0.304 | 0.000 | 0.001 | 1 | 1 | 0.068 | 0.001 | 0.894 | 13.682 | 13.684 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.006 | 0.000 | 1.000 | 0.195 | 0.195 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.028 | 0.013 | 0.001 | 0.000 | -1 | 1 | 0.007 | 0.001 | 1.000 | 4.213 | 4.269 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.003 | 0.000 | 0.000 | 0.003 | -1 | 1 | 0.043 | 0.000 | 0.911 | 0.065 | 0.065 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.025 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.043 | 0.000 | 0.891 | 0.579 | 0.579 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 5 | 0.006 | 0.000 | 1.000 | 0.400 | 0.400 | See | See |
HistGradientBoostingClassifier_best¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: learning_rate=0.01, n_iter_no_change=10.0, max_leaf_nodes=100.0, max_bins=255.0, min_samples_leaf=100.0, max_iter=300.0.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | max_leaf_nodes | min_samples_leaf | n_iter_no_change | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 25b9f14bed7dd5d830c6ccd4dfebbf0c | 8c8fffa8ec4b2d8de833421f9e32beab | 0.123708 | 0.002074 | 300 | ... | 100 | 100 | 10 | 0.824 | 0.445694 | 0.0113 | 1.0 | 0.277562 | 0.277651 | 0.176 |
1 rows × 25 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | HistGradientBoostingClassifier_best | fit | 100000 | 100000 | 100 | 104.934 | 0.0 | 300 | 0.001 | 0.001 | 0.524 | 0.029 | 0.824 | 200.067 | 200.373 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 0.124 | 0.002 | 300 | 0.006 | 0.0 | 0.446 | 0.011 | 1.0 | 0.278 | 0.278 | See | See |